Analytics Engineer

ABOUT COUNSEL http://counsel.health/ Counsel’s mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we’re building the first fully-vertical, AI-native medical group from the ground up. We’ve redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [learn more on our blog https://www.counselhealth.com/blog] Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms. Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) — and we’re looking for exceptional people to join us as we scale. Join us as we build the future of AI in healthcare! ----------------------------------------------------- ABOUT THE ROLE At Counsel Health, we've built a strong data foundation — a cloud warehouse, ETL pipelines, and event tracking are all in place. Now we need someone to make that data mean something. We're looking for an Analytics Engineer who will own the semantic layer of our data, building and maintaining the core analytics data models that the rest of the company will use to turn raw data into insights. You will be the person the company trusts to answer "how do we measure this?” The infrastructure is built. The data warehouse is running. The company is growing. What's missing is the person who makes the data layer actually work — who turns raw tables into the trusted models that power every dashboard, every data product, and every strategic decision. You'll be the first dedicated analytics hire, which means you define the standards, choose the patterns, and shape how Counsel Health uses data for years to come. WHAT YOU'LL DO - Own the Semantic Layer: Build and maintain data models that define our core business metrics — from clinical outcomes to revenue to utilization. You will own the sources of truth for Counsels core metrics and ensure they can be reliably used throughout the company. - Orchestrate & Monitor: Run dbt orchestration with integrated alerting, CI/CD pipelines, and data quality testing to catch issues before they reach dashboards. - Build Reverse ETL Pipelines: Stand up the data flows that feed clean, modeled data back into production systems — population cohort definitions, marketing intelligence, and operational features that depend on well-modeled warehouse data. - Own Data Compliance: Implement and maintain access controls for PHI data, ensuring the data layer meets HIPAA requirements while remaining accessible. WHAT YOU'LL BRING - 3+ years of experience in analytics engineering, data analytics, or a hybrid data role. - Deep expertise in SQL and dbt. - Experience with BigQuery or comparable cloud data warehouses (Snowflake, Redshift). - Experience working in a regulated industry (healthcare, fintech, insurance, government) with proven ability to manage sensitive data and access controls. HIPAA familiarity is a plus. - Experience with data orchestration tooling (Paradigm, dbt Cloud, Airflow, or similar), and integrating analytics data back into production systems WHO YOU ARE - A Context Engineer: You think in business entities and stakeholder questions, not just tables and joins. You translate fuzzy requirements into clean, well-modeled data. - dbt + SQL Native: dbt is your primary tool. You write clean, modular, well-tested transformations and you have strong opinions about how a dbt project should be organized. - Infrastructure-Comfortable: You're not a data engineer, but you can manage orchestration, environments, and reverse ETL pipelines without hand-holding. - Product-Minded: You don't just model data — you ask why someone